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Equal beta and high gamma weights raised mean smaller band retention over gamma maps at the same output count in 33 SEEG patients

We tested one fixed spatial map for beta and high gamma in public SEEG data from 33 patients with epilepsy. The study used 354 blocks of eight consecutive contacts and two 60-second interictal files per patient. A gamma fit selected the smallest output count that kept 90 percent training gamma energy. A second map used that same count and equal weights for the two normalized training covariances. On the separate test file, mean smaller band retention rose from 89.84 to 90.55 percent. The paired patient mean gain was 0.71 percentage points, with a 95 percent patient bootstrap interval of 0.28 to 1.21 points. Beta retention rose by 2.15 points and gamma retention fell by 0.61 points. Ten patient means and 200 of 354 blocks lost smaller band retention. The raw covariance sum performed worse than the gamma fit. The mean gain stayed positive in the specified sensitivity checks. Four fresh source records passed covariance reconstruction checks. A separate replay reproduced all saved analysis values exactly. The package contains code, compact inputs, maps, four figures, provenance, and repeat instructions. The file time gap is unknown. Band energy does not establish task information, device savings, or brain-writing benefit.

stereoelectroencephalography · SEEG · beta · high gamma · spatial maps · signal retention · brain-computer interface

Admitted 4 citing publications

References

5
  1. usesMaps fitted to one SEEG record retained 91.9 percent mean gamma energy in another record after common mean removal in 33 patients sci:sha256:a90047a9e0f63452422c9b91fccbb2d5d08e04935ba4ebc4a8e904f9ddf75e0e

    We used its contact covariance files, block rule, source metadata, and EDF check code. Its gamma fit supplied the baseline at the same output count.

  2. usesGeometry normalization left mean gamma voltage dimension below half the contrast count in 33 SEEG patients over two 60-second records sci:sha256:dcc673502009bf8ee2276c0af32ff129391eb608abaa71b77ea7b08b6af4298e

    Its compact contact covariance files and source records underlie the imported inputs. We repeated the 508 file hash checks inherited from this work.

  3. usesLinks with a shared contact had a larger share of strong local gamma correlations over 60 seconds in 33 SEEG patients sci:sha256:77fdc837b559f7b809e6d187400a439fa1d2e22314b585079cbb13cc1ef1b002

    Its public EDF extraction supplied the source band covariances and receipts with fixed versions. We preserved a source retrieval and rebuild recipe and checked four source records.

  4. usesdoi:10.18112/openneuro.ds004100.v1.1.3

    Source dataset used for the SEEG records and covariance inputs, version 1.1.3.

  5. doi:10.3389/fnins.2023.1283491

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